00 55 00 00 00 09 00 10 00 02 00 01 02 00 01
时间: 2023-08-22 21:06:28 浏览: 43
根据你提供的内容 "00 55 00 00 00 09 00 10 00 02 00 01 02 00 01",这是一个 Modbus RTU 编码的消息。
将每个字节转换为十进制数,得到以下结果:
```
Slave Address: 0
Function Code: 85
Data: 0 0 0 9 0 16 0 2 0 1 2 0 1
```
其中,"Slave Address" 是从站地址;"Function Code" 是功能码;"Data" 是数据内容。
根据提供的数据内容,可以将其解析为以下形式的消息:
```
Slave Address: 0
Function Code: 85
Data: [0 0] [0 9] [0 16] [0 2] [0 1] [2] [0 1]
```
每对方括号内的两个数字表示一个字节的数据。
请注意,具体的数据含义需要根据 Modbus 协议的规定来解释。根据提供的数据,无法确定具体的含义和操作。
总结起来,根据你提供的内容 "00 55 00 00 00 09 00 10 00 02 00 01 02 00 01",这是一个 Modbus RTU 编码的消息,包含了从站地址、功能码和数据内容。具体的含义需要根据 Modbus 协议来解释。
相关问题
F3 FF F3 FF F2 FF F2 FF F2 FF F1 FF F1 FF F1 FF F0 FF F0 FF F0 FF EF FF EF FF EF FF EF FF EF FF EF FF F0 FF F0 FF FF FF 39 00 B1 00 64 01 15 02 79 02 59 02 DB 01 34 01 A3 00 2C 00 CC FF 85 FF 58 FF 46 FF 58 FF 84 FF B1 FF E1 FF 23 00 6A 00 99 00 A4 00 8D 00 63 00 34 00 0B 00 EF FF E2 FF E4 FF F0 FF 01 00 12 00 1C 00 1F 00 1B 00 14 00 0D 00 07 00 03 00 01 00 01 00 02 00 05 00 07 00 09 00 0A 00 0A 00 0B 00 0C 00 0D 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 07 08 11 00 00 85 0D 00 34 01 DB 01 59 02 79 02 15 02 64 01 B1 00 39 00 65 01 00 00 44 0C 00 00 20 08 00 00 79 02 00 00 F3 19 00 00 03 0B 00 00 00 00 00 00 E4 07 2C 01 00 00 44 16 00 00 70 17 55 00 FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF十六进制转换成10进制
这是一个十六进制的数据序列,可以使用计算器或者编程语言来进行转换。以下是每个十六进制数转换成十进制的结果:
243 255 243 255 242 255 242 255 242 255 241 255 241 255 241 255 240 255 240 255 240 255 239 255 239 255 239 255 239 255 239 255 240 255 240 255 255 255 57 0 177 0 100 1 21 2 121 2 89 2 219 1 52 1 163 0 44 0 204 255 133 255 88 255 70 255 88 255 132 255 225 255 35 0 106 0 153 0 164 0 141 0 99 0 52 0 11 0 239 255 226 255 228 255 240 255 1 0 18 0 28 0 31 0 27 0 20 0 13 0 7 0 3 0 1 0 1 0 2 0 5 0 7 0 9 0 10 0 10 0 11 0 12 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 8 17 0 0 133 13 0 52 1 219 1 89 2 121 2 21 2 100 1 177 0 57 0 101 1 0 0 68 12 0 0 32 8 0 0 121 2 0 0 243 25 0 0 3 11 0 0 0 0 0 0 228 7 44 1 0 0 68 22 0 0 112 23 85 0 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255 255
将每个十六进制数转换成十进制后,就得到了一串数字序列。
卡号, 进站编号, 进站时间, 进站线路, 出站编号, 出站时间, 出站线路 S010xxxxxx05764320,0122,15:09:00,01,1351,13:56:31,13 S010xxxxxx24535560,9705,13:37:00,97,0201,14:38:23,02 S010xxxxxx54576320,0105,07:39:00,01,0201,08:18:13,02 S010xxxxxx07392730,9321,15:14:00,93,0439,15:23:25,04 S010xxxxxx97776930,0216,07:58:00,02,0201,08:10:12,02 S010xxxxxx73598630,0931,08:07:00,09,0201,08:33:03,02 S010xxxxxx52714840,0114,08:29:00,01,0201,08:41:16,02 S010xxxxxx01979600,0123,09:53:00,01,0201,10:32:13,02 S010xxxxxx09069140,0104,15:08:00,01,0104,13:50:18,01 S010xxxxxx95262390,0463,08:08:00,04,0201,08:33:17,02 S010xxxxxx07555490,1015,07:48:00,10,0813,10:13:19,08 S010xxxxxx07231460,9525,08:40:00,95,9525,08:40:23,95 S010xxxxxx67155570,1051,07:32:00,10,0201,08:16:10,02 S010xxxxxx76176560,9711,08:30:00,97,0201,09:49:04,02 S010xxxxxx07396920,0465,19:48:00,04,0929,13:55:01,09 S010xxxxxx05692400,0000,14:44:00,00,0651,16:44:22,06 S010xxxxxx69720040,0120,17:25:00,01,0201,17:52:12,02 S010xxxxxx50779513,0451,09:17:00,04,0201,09:39:34,02 S010xxxxxx09220040,9429,18:33:00,94,9429,19:26:47,94 S010xxxxxx01027320,0205,08:33:00,02,0201,08:45:12,02 S010xxxxxx09036180,0563,07:31:00,05,1081,13:07:07,10 S010xxxxxx83086320,0433,07:42:00,04,0201,07:59:14,02 S010xxxxxx09127310,0209,12:39:00,02,0209,05:28:10,02 S010xxxxxx09279440,1001,07:20:00,10,0108,09:27:23,01 S010xxxxxx36871830,0210,13:16:00,02,0201,13:42:25,02 S010xxxxxx42150840,0103,09:47:00,01,0201,10:32:17,02 S010xxxxxx71233940,0523,07:10:00,05,0201,07:55:01,02 S010xxxxxx76236920,0214,09:29:00,02,0201,09:50:14,02 S010xxxxxx07541710,0218,16:46:00,02,0117,09:13:14,01 设计python 程序对有问题的数据进行筛选和剔除,比如出站时间早于进站时间的记录, 从进站到出站不足5分钟的记录
好的,我可以为您设计一个Python程序来进行筛选和剔除数据。以下是示例代码:
```python
import datetime
def filter_data(records):
result = []
for record in records:
enter_time = datetime.datetime.strptime(record[2], '%H:%M:%S')
exit_time = datetime.datetime.strptime(record[6], '%H:%M:%S')
duration = (exit_time - enter_time).seconds // 60
if exit_time < enter_time or duration < 5:
continue
result.append(record)
return result
# 示例数据
records = [
['S010xxxxxx05764320', '0122', '15:09:00', '01', '1351', '13:56:31', '13'],
['S010xxxxxx24535560', '9705', '13:37:00', '97', '0201', '14:38:23', '02'],
['S010xxxxxx54576320', '0105', '07:39:00', '01', '0201', '08:18:13', '02'],
['S010xxxxxx07392730', '9321', '15:14:00', '93', '0439', '15:23:25', '04'],
['S010xxxxxx97776930', '0216', '07:58:00', '02', '0201', '08:10:12', '02'],
['S010xxxxxx73598630', '0931', '08:07:00', '09', '0201', '08:33:03', '02'],
['S010xxxxxx52714840', '0114', '08:29:00', '01', '0201', '08:41:16', '02'],
['S010xxxxxx01979600', '0123', '09:53:00', '01', '0201', '10:32:13', '02'],
['S010xxxxxx09069140', '0104', '15:08:00', '01', '0104', '13:50:18', '01'],
['S010xxxxxx95262390', '0463', '08:08:00', '04', '0201', '08:33:17', '02'],
['S010xxxxxx07555490', '1015', '07:48:00', '10', '0813', '10:13:19', '08'],
['S010xxxxxx07231460', '9525', '08:40:00', '95', '9525', '08:40:23', '95'],
['S010xxxxxx67155570', '1051', '07:32:00', '10', '0201', '08:16:10', '02'],
['S010xxxxxx76176560', '9711', '08:30:00', '97', '0201', '09:49:04', '02'],
['S010xxxxxx07396920', '0465', '19:48:00', '04', '0929', '13:55:01', '09'],
['S010xxxxxx05692400', '0000', '14:44:00', '00', '0651', '16:44:22', '06'],
['S010xxxxxx69720040', '0120', '17:25:00', '01', '0201', '17:52:12', '02'],
['S010xxxxxx50779513', '0451', '09:17:00', '04', '0201', '09:39:34', '02'],
['S010xxxxxx09220040', '9429', '18:33:00', '94', '9429', '19:26:47', '94'],
['S010xxxxxx01027320', '0205', '08:33:00', '02', '0201', '08:45:12', '02'],
['S010xxxxxx09036180', '0563', '07:31:00', '05', '1081', '13:07:07', '10'],
['S010xxxxxx83086320', '0433', '07:42:00', '04', '0201', '07:59:14', '02'],
['S010xxxxxx09127310', '0209', '12:39:00', '02', '0209', '05:28:10', '02'],
['S010xxxxxx09279440', '1001', '07:20:00', '10', '0108', '09:27:23', '01'],
['S010xxxxxx36871830', '0210', '13:16:00', '02', '0201', '13:42:25', '02'],
['S010xxxxxx42150840', '0103', '09:47:00', '01', '0201', '10:32:17', '02'],
['S010xxxxxx71233940', '0523', '07:10:00', '05', '0201', '07:55:01', '02'],
['S010xxxxxx76236920', '0214', '09:29:00', '02', '0201', '09:50:14', '02'],
['S010xxxxxx07541710', '0218', '16:46:00', '02', '0117', '09:13:14', '01']
]
# 筛选数据
filtered_records = filter_data(records)
# 输出结果
for record in filtered_records:
print(record)
```
在示例代码中,我们定义了一个名为 `filter_data` 的函数来进行数据筛选和剔除。该函数接受一个列表作为参数,其中每个元素表示一条记录。对于每条记录,我们使用 `strptime` 函数将进站时间和出站时间转换为 `datetime` 对象,并计算出站时间减去进站时间的分钟数。接着,我们根据题目要求,判断出站时间是否早于进站时间,以及进出站时间间隔是否小于5分钟,如果是则跳过该记录,否则将其添加到结果列表中。最后,我们输出筛选后的结果。
您可以将示例代码中的 `records` 替换为您的数据,运行程序即可得到结果。
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